多簇数据划分算法的仿真研究

Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid '07) Pub Date : 2007-05-14 DOI:10.1109/CCGRID.2007.13

Chen Yu, D. Marinescu, H. Siegel, J. Morrison

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引用次数: 3

摘要

最近我们提出了在多集群上并行执行的算法[11]。在这种情况下，数据分区在两个级别上完成;首先，将数据分发到具有不同资源和启动时间的异构并行系统集合中，然后在每个系统上将数据均匀地分区到可用节点。在本文中，我们报告了一个算法的仿真研究。

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A Simulation Study of Data Partitioning Algorithms for Multiple Clusters

Recently we proposed algorithms for concurrent execution on multiple clusters [11]. In this case, data partitioning is done at two levels; first, the data is distributed to a collection of heterogeneous parallel systems with different resources and startup time, then, on each system the data is evenly partitioned to the available nodes. In this paper, we report on a simulation study of the algorithms.

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Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid '07)

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